M6546
(±)-2-(p-Methoxyphenoxy)propionic acid
solid, ≥98%
Synonym(s):
PMP
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About This Item
Empirical Formula (Hill Notation):
C10H12O4
CAS Number:
Molecular Weight:
196.20
UNSPSC Code:
12352202
PubChem Substance ID:
NACRES:
NA.77
MDL number:
Product Name
(±)-2-(p-Methoxyphenoxy)propionic acid, ≥98%
biological source
synthetic (organic)
Quality Level
assay
≥98%
form
solid
SMILES string
COc1ccc(OC(C)C(O)=O)cc1
InChI
1S/C10H12O4/c1-7(10(11)12)14-9-5-3-8(13-2)4-6-9/h3-7H,1-2H3,(H,11,12)
InChI key
MIEKOFWWHVOKQX-UHFFFAOYSA-N
Application
(±)-2-(p-Methoxyphenoxy)propionic acid may be used as a sweet taste receptor antagonist to study its effect on allulose-induced glucagon-like peptide 1 (GLP-1) secretion rats. It may also be used to study the response of the secretin tumor cell line (STC-1) to sweetener in the presence and absence of (±)-2-(p-methoxyphenoxy)propionic acid or lactisole.
Biochem/physiol Actions
As a taste modulator, the sodium salt inhibits the perception of sweetness in humans, but not in rats.
signalword
Warning
hcodes
Hazard Classifications
Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3
target_organs
Respiratory system
Storage Class
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
ppe
dust mask type N95 (US), Eyeshields, Gloves
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A Sclafani et al.
Physiology & behavior, 61(1), 25-29 (1997-01-01)
Cypha, propionic acid, 2-(4-methoxyphenol) salt, is a commercially available sweet taste inhibitor used in food products. The present study examined whether or not Cypha blocked the sweet taste response of rats. This was accomplished by measuring the consummatory response of
David E Lanfear et al.
JACC. Heart failure, 5(11), 823-832 (2017-11-04)
This study sought to derive and validate plasma metabolite associations with survival in heart failure (HF) patients. Profiling of plasma metabolites to predict the course of HF appears promising, but validation and incremental value of these profiles are less established. Patients
Paolo Tommasino et al.
Frontiers in neurorobotics, 11, 65-65 (2017-12-19)
A major challenge in robotics and computational neuroscience is relative to the posture/movement problem in presence of kinematic redundancy. We recently addressed this issue using a principled approach which, in conjunction with nonlinear inverse optimization, allowed capturing postural strategies such